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OBJECTIVES Endoscopic retrograde cholangiography is an established method for treatment of common bile duct stones as well as for palliation of patients with malignant pancreaticobiliary strictures. It may be unsuccessful in the presence of a complex peripapillary diverticulum, prior surgery, obstructing tumor, papillary stenosis, or impacted stones.(More)
In this work we present a method for automated classification of endoscopic images according to the pit pattern classification scheme. Images taken during colonoscopy are transformed to the wavelet domain using the pyramidal discrete wavelet transform. Then, Gaussian Markov random fields are used to extract features from the resulting wavelet coefficients.(More)
In this work we present a method for automated classification of endoscopic images according to the pit pattern classification scheme. Images taken during colonoscopy are transformed using a modified version of the local binary patterns operator (LBP). Then, two-dimensional histograms based on the LBP data from different color channels are created. Finally,(More)
Histogram-based techniques for an automated classification of magnifying endoscope images with respect to pit patterns of colon lesions are discussed and compared. Currently, the results only allow a support of human observation especially due to the large number of false negatives of neoplastic lesions
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In this paper, we present a novel approach to predict the histological diagnosis of colorectal lesions from high-magnification colonoscopy images by means of Pit Pattern analysis. Motivated by the shortcomings of discriminant classifier approaches, we present a generative model based strategy which is closely related to content-based image retrieval (CBIR)(More)
OBJECTIVE There is evidence of an interaction between psychological factors and activity of inflammatory bowel disease (IBD). We examined the influence of depressive mood and associated anxiety on the course of IBD over a period of 18 months in a cohort of patients after an episode of active disease. METHODS In this prospective, longitudinal,(More)
OBJECTIVES To investigate pharmacokinetics and metabolism of sodium citrate in critically ill patients. To determine the risk of citrate accumulation in the setting of liver dysfunction (cirrhosis, hepatorenal syndrome). DESIGN Prospective cohort study. SETTING Intensive Care Unit, Department of Medicine IV, University Hospital Vienna. PATIENTS(More)
In this work we present a method for an automated classification of en-doscopic images according to the pit pattern classification scheme. Images taken during colonoscopy are transformed using an extended and rotation invariant version of the Local Binary Patterns operator (LBP). The result of the transforms is then used to extract polygons from the images.(More)
This paper describes an application of machine learning techniques and evolutionary algorithms to colon cancer diagnosis. We propose an automated classification system for endoscopical images, which is supposed to support physicians in making correct decisions. Classification is done according to the pit-pattern scheme, which defines two/six different(More)